好文章

看名字就知道很重要的網站

https://paperswithcode.com/

講述Random Forest的好文章

https://www.guru99.com/r-random-forest-tutorial.html#2

R的特徵工程

http://www.shareditor.com/blogshow?blogId=106

 https://zhuanlan.zhihu.com/p/25732304

設計模式

https://cloud.tencent.com/developer/article/1330380

 

機器學習的評估

http://www.javashuo.com/article/p-sqqodhsa-ke.html

數據倉庫

http://www.javashuo.com/article/p-tnhnyinf-ca.html

https://www.jianshu.com/p/849db358ec61

https://www.jianshu.com/p/b635a3073e7b

算法

https://github.com/MisterBooo/LeetCodeAnimation

https://github.com/azl397985856/leetcode

 tensorflow

http://www.elecfans.com/rengongzhineng/635154.html#http://bbs.elecfans.com

關於Lasso和嶺迴歸

http://www.javashuo.com/article/p-mwrwndzg-hd.html

 https://blog.csdn.net/JH_Zhai/article/details/82694937

 

Accnture

https://employeereferralprogram.accenture.com/#/index

 

http://www.blogjava.net/hh-lux/archive/2006/12/10/86635.html

https://blog.csdn.net/u010142437/article/details/26681213

 

特徵工程

https://www.zhihu.com/question/29316149

http://www.cnblogs.com/jasonfreak/p/5448462.html

http://www.javashuo.com/article/p-cfovaxvj-ky.html

http://www.javashuo.com/article/p-gtevaphc-de.html

 

關於向量機的文章

https://blog.csdn.net/v_JULY_v/article/details/7624837

http://blog.pluskid.org/?page_id=683

 

關於PCA以及白化的好文章（一個英文版，一箇中文版）

http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial

http://ufldl.stanford.edu/wiki/index.php/UFLDL%E6%95%99%E7%A8%8B

 

PCA系列好文

https://blog.csdn.net/baimafujinji/article/details/50372906

https://blog.csdn.net/baimafujinji/article/details/50373143

https://blog.csdn.net/baimafujinji/article/details/79372911

 

 BAT機器學習面試1000題

https://blog.csdn.net/v_JULY_v/article/details/78121924

 

關於YARN的fair

 http://blog.cloudera.com/blog/2018/06/yarn-fairscheduler-preemption-deep-dive/

 

spark和es結合作聚類學習

https://code.i-harness.com/zh-CN/q/1b0ead4

 

爭取天天讀一篇的好博客，關於機器學習的

https://blog.csdn.net/lyl771857509/article/list/1?t=1

 

 python-Levenshtein類似度（距離）計算

https://blog.csdn.net/dcrmg/article/details/79228589

https://github.com/xiashiwendao/Metis/tree/master/docs 織雲開源網址，個人fork

 

寫給程序員的數據挖掘

http://guidetodatamining.com/

 

特徵工程

https://www.zhihu.com/question/29316149

 

Python機器學習實踐與Kaggle實戰

 https://mlnote.wordpress.com/2015/12/16/python%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E8%B7%B5%E4%B8%8Ekaggle%E5%AE%9E%E6%88%98-machine-learning-for-kaggle-competition-in-python/

 

機器學習資源（持續更新）

https://blog.csdn.net/linxid/article/details/83865649

吳恩達視頻筆記

 https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes

https://study.163.com/course/courseMain.htm?courseId=1004570029&_trace_c_p_k2_=907d8e659c5e47d5939d46f4627d14bb

 https://scikit-learn.org/stable/

華校專的我的網頁

 http://www.huaxiaozhuan.com/

 

關於時間序列

https://zhuanlan.zhihu.com/p/21781849

https://blog.csdn.net/shanguier/article/details/77575565

https://tsfresh.readthedocs.io/en/latest/ 

https://www.jianshu.com/p/4130bac8ebec 簡書的一個ARIMA的例子

 

Apriori算法

https://www.cnblogs.com/90zeng/p/apriori.html

https://www.cnblogs.com/dm-cc/p/5737147.html

機器學習的好博客（apriori的python3實現就是在這裏找到的）

https://adataanalyst.com/tag/machine-learning/

 

ELK

grok的模式解析庫
https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns 或

https://github.com/thekrakken/java-grok/blob/master/src/main/resources/patterns/patterns
ELK面試題：https://mp.weixin.qq.com/s/iay2B4XGl5MuEqRBWqoipA

 

在線juypter

微軟的

https://docs.microsoft.com/en-us/azure/notebooks/quickstart-create-share-jupyter-notebook

MyBinder

https://mybinder.org/

一篇介紹在線jupyter的簡書文章

https://www.jianshu.com/p/e009997ab5d8